NOAA 99-068 FOR IMMEDIATE RELEASE Contact: Scott Smullen 10/26/99 |
Warm and Dry in South and Southwest; Snow/Rain to Northwest and Great Lakes; Jet Stream Guides Fate of North Central States and Northern New England Washington, D.C. The nation's top climate and weather experts of the National Oceanic and Atmospheric Administration today unveiled the winter weather forecast for the United States, saying that a lingering La Niña climate cycle of cold tropical Pacific waters will influence wintertime weather patterns through March. "Once again, La Niña will have a pronounced effect on winter weather in the United States and, consequently, many climate-sensitive businesses and industries," said D. James Baker, under secretary of commerce for oceans and atmosphere and NOAA administrator. "While we can't put a price tag on this year's La Niña cycle, we can forecast with confidence how it will steer the nation's winter weather." "La Niña will alter the strength and pattern of the Pacific jet stream over North America to give us a warm and dry winter in the southern half of the nation, but more snow and rain to the Pacific Northwest and the Great Lakes. We expect considerable month-to-month variation in temperature, rainfall and storminess in the central, northern and eastern states, which means days of warmer than normal temperatures followed by bouts of bitter cold. As with every winter, it's too early to predict just how the jet stream will affect the weather in many north central states and for northern New England," said Baker. Baker pointed out that an increasing number
of weather-sensitive businesses and industries use NOAA's climate
outlooks to base long-term business decisions. For example, city
managers may use these forecasts in purchasing adequate amounts
of "The cycling between the warmer El Niños and colder La Niñas can alter temperatures and rains to such an extent that they significantly disrupt U.S. agriculture, commercial fishing, tourism, and many diverse businesses and industries," said Baker. "We're finding that last winter's La Niña may cause U.S. agricultural losses of more than $2 billion, which tops the $1.5 billion in agricultural damage from the 1997-98 El Niño cycle. In addition, the 1997-98 El Niño that brought a mild winter to the northern Midwest and heavy rains to the Southwest and West Coast caused U.S. energy consumers to spend $2.2 billion less on oil and gas for heating, but then cost consumers and farmers $3 billion in lost crops and agricultural production." "Over the past decade, we have improved the forecasting of La Niña and El Niño so that we can now predict these events and their expected climatic impacts on different regions with some 70 to 80 percent accuracy a year before they occur," said John J. Kelly Jr., director of NOAA's National Weather Service. "In each of the past two years, the National Weather Service's climate forecasts for the winter have been made with record skill. We're now able to accurately forecast impending La Niña or El Niño cycles months in advance instead of detecting them as they reach their peaks," said Kelly. "NOAA produces its winter weather forecast with confidence because of gains in climate system research and advances in our computer modeling capabilities. In addition, NOAA installed more than 70 buoys that, via NOAA satellites, feed real-time ocean and atmosphere data into sophisticated computer models to produce climate forecasts that are unprecedented." Officials say it is not just long-term climate forecasting that has improved their ability to predict winter weather. "NOAA's National Weather Service has
also improved the agency's ability to predict and track winter
storms at the local level," said Kelly. "The $4.5 billion
modernization
of National Weather Service technologies has provided advanced
capabilities in delivering accurate and timely forecasts and
warnings prior to winter storms. Meteorologists in every forecast
office now use new work stations to combine the latest Doppler
radar observations with satellite
data and sophisticated computer
models to produce more immediate and precise forecasts and
warnings than ever before. This new combined technology saves
time and, ultimately, lives." La Niña winters are characterized by temperature variability, or changes in the weekly mean temperatures as the season progresses. A season with little variability would have mean temperatures that changed little from week to week. A season with high variability, like this La Niña, will have some very warm weeks interspaced with some very cold ones. "La Niña years are characterized by a tendency for blocking high pressure systems to form in the North Pacific Ocean. These blocks tend to persist for a week or two at a time. Depending on the exact location, which is variable, the weather can alternate from very warm to very cold conditions that persist for a while, then change. This causes the large amount of temperature variability in the northern United States," said Louis Uccellini, director of the National Weather Service's National Centers for Environmental Prediction, a NOAA facility in Camp Springs, Md. NOAA climate experts also point to other factors that pose a particular challenge to forecasters. One such factor that acts independently of a La Niña event is the North Atlantic Oscillation cycle. The oscillation produces a large scale change in the jet stream that causes weather patterns to fluctuate and temperatures and precipitation to vary widely.
Winter Weather Breakdown by Temperature & Precipitation:
Snowfall above normal: Snowfall below normal: For more detail on the winter weather outlook and information about La Niña, go to NOAA's Climate Prediction Center Web site at http://www.cpc.ncep.noaa.gov. The Winter Weather Awareness site of NOAA's National Weather Service is found at http://www.nws.noaa.gov/om/winter. More information about NOAA's National Weather Service and its products and services are found at the agency's main Web site at http://www.nws.noaa.gov. La Niña sea-surface temperature animation is available at: http://manati.wwb.noaa.gov/orad/sub/sst_anomaly_4m.html
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